A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study

Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To this end, omics data are integrated with other data types, e.g., clinical, phenotypic, and demographic parameters of categorical or continuous natur...

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Detalles Bibliográficos
Autores principales: Altenbuchinger, Michael, Zacharias, Helena U., Solbrig, Stefan, Schäfer, Andreas, Büyüközkan, Mustafa, Schultheiß, Ulla T., Kotsis, Fruzsina, Köttgen, Anna, Spang, Rainer, Oefner, Peter J., Krumsiek, Jan, Gronwald, Wolfram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764972/
https://www.ncbi.nlm.nih.gov/pubmed/31562371
http://dx.doi.org/10.1038/s41598-019-50346-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764972/
https://www.ncbi.nlm.nih.gov/pubmed/31562371
http://dx.doi.org/10.1038/s41598-019-50346-2

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